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» Evaluating Adaptive Problem Selection
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ICPR
2002
IEEE
14 years 11 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
ICC
2007
IEEE
14 years 4 months ago
A Novel Piggyback Selection Scheme in IEEE 802.11e HCCA
— A control frame can be piggybacked in a data frame to increase the channel efficiency in a wireless communication such as IEEE 802.11 WLAN. However, the piggyback scheme may c...
Hyun-Jin Lee, Jae-Hyun Kim, Sunghyun Cho
NORDICHI
2006
ACM
14 years 4 months ago
Modified contextual design as a field evaluation method
Downstream utility is a critical success factor for usability evaluation methods, in terms of the extent to which they can deliver value. In this paper we argue that field methods...
Sharon McDonald, Kelly Monahan, Gilbert Cockton
EDBT
2010
ACM
152views Database» more  EDBT 2010»
14 years 1 months ago
Feedback-based annotation, selection and refinement of schema mappings for dataspaces
The specification of schema mappings has proved to be time and resource consuming, and has been recognized as a critical bottleneck to the large scale deployment of data integrati...
Khalid Belhajjame, Norman W. Paton, Suzanne M. Emb...
ECAL
2007
Springer
14 years 4 months ago
Multi-level Selection in the Emergence of Language Systematicity
Language can be viewed as a complex adaptive system which is continuously shaped and reshaped by the actions of its users as they try to solve communicative problems. To maintain c...
Luc Steels, Remi van Trijp, Pieter Wellens